Title :
Model Reference Adaptive Control based on Neural Network for Electrode System in Electric Arc Furnace
Author :
Shi-feng, Zhang ; Shao-de, Zhang ; Kun, Li ; Xiao, Zheng
Author_Institution :
Sch. of Electr. Eng. & Inf., Anhui Univ. of Technol.
Abstract :
Control strategy of model reference adaptive control (MRAC) based on radial basis function neural network (RBFNN) online identification is proposed, and a controller is also designed. Which in accordance with the characteristics of the electrode system in electric arc furnace as the high nonlinearity, time-variant, uncertainty and multivariable input and output coupling. The validity of control strategy is verified by result of experimentation
Keywords :
adaptive control; arc furnaces; control engineering computing; control system synthesis; electrodes; radial basis function networks; controller; electric arc furnace; electrode system; model reference adaptive control; online identification; radial basis function neural network; Adaptive control; Control systems; Couplings; Electrodes; Furnaces; Neural networks; Nonlinear control systems; Pressure control; Process control; Uncertainty; RBF neural network; adaptive decouple controller; electric arc furnace; electrode control; online identification;
Conference_Titel :
Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0448-7
DOI :
10.1109/IPEMC.2006.4778237
